Bibliographic Details
| Title: |
Process approach as a cognitive biomarker related to gray matter volume in mild cognitive impairment and Alzheimer’s disease |
| Authors: |
Wenhao Zhu, Xia Zhou, Mengmeng Ren, Wenwen Yin, Yating Tang, Jiabin Yin, Yue Sun, Xiaoqun Zhu, Zhongwu Sun |
| Source: |
BMC Neurology, Vol 24, Iss 1, Pp 1-13 (2024) |
| Publisher Information: |
BMC, 2024. |
| Publication Year: |
2024 |
| Collection: |
LCC:Neurology. Diseases of the nervous system |
| Subject Terms: |
Process approach, Gray matter volume, Mild cognitive impairment, Alzheimer’s disease, Neuropsychological assessment, Neurology. Diseases of the nervous system, RC346-429 |
| More Details: |
Abstract Background Process approach is valuable for memory assessment in Alzheimer’s disease (AD) and mild cognitive impairment (MCI), yet its underlying mechanisms remain elusive. This study aims to synergize the process approach with brain structure analysis to explore both the discriminative capacity and potential mechanisms underlying the process approach. Methods 37 subjects of MCI, 35 subjects of AD and 38 subjects of healthy control (HC) were included. The process approach in Auditory Verbal Learning Test (AVLT), including discriminability (A’), response bias (B"D), semantic clustering (LBCsem) and serial clustering (LBCser) was performed. The gray matter volume (GMV) was analyzed by voxel-based morphometry. Receiver operating characteristic (ROC) analysis and partial correlations were conducted to explore the value of the process approach and investigate the relationship between the process approach, traditional indices of AVLT and GMV. Results ROC analysis showed the value of A’, B"D and LBCser in differentiating MCI and AD. Combining AVLT-Immediately Recall (AVLT-IR) and LBCser showed a higher value in diagnosing MCI. Partial correlations revealed that in the MCI group, A’ and B"D were mainly positively associated with GMV of the hippocampus and temporal lobe. Conclusion This study indicated that the process approach is a promising cognitive biomarker to detect MCI and AD. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
1471-2377 |
| Relation: |
https://doaj.org/toc/1471-2377 |
| DOI: |
10.1186/s12883-024-03711-2 |
| Access URL: |
https://doaj.org/article/44cc6efc1d6744a8be7473034a7efaef |
| Accession Number: |
edsdoj.44cc6efc1d6744a8be7473034a7efaef |
| Database: |
Directory of Open Access Journals |
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